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IOSR Journal of Computer Engineering (IOSR-JCE)
e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 16, Issue 2, Ver. VII (Mar-Apr. 2014), PP 51-58
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Mine music
Saurav Roy, Subhajit Pal
ESL LAB, Chandannagar CA-5, Salt Lake City, Kolkata – 700064
Abstract : This technical report describes the implementation details of a music recommendation system based
on data mining techniques. The system enables the user to receive a playlist depending on his mood and age.
Mood and age, these two parameters were considered by the system to recommend a song to a specific user.
The proposed application also uses encryption and decryption technique to prevent outside attacks and
secure its dataset from the attackers.
The methodology section of this report describes the step algorithm along with the data flow diagram.
We hope that the design and development concept described in this project will aid the developers' community
in near future.
Keywords: Python, Data mining, Recommendation system, Encryption Decryption, SQL, Cryptography
I.
Introduction
1.1 Python
1.1.1 What is Python?Python is high level, interpreted, pure object oriented widely used scripting language.
Like all other scripting languages, Python code resembles pseudo code. Its syntax's rules and elegant design
make it readable even among multi-programmer development teams. The syntax of the language is easily
understandable, which is really helpful. The idea behind that is to keep you thinking about the business rules of
your application and not to spend time trying to figure out what command you should use.
1.1.2 Why Python?Python has clear and simple code structure, and is closer to English than any of the
languages we use. Creating Python programming is so straightforward that it's been called "programming at the
speed of thought."
The simplicity of Python makes it easy to learn. In addition to the list (dynamic array) data structure,
Python provides tuples (immutable lists) and dictionaries (hash tables). Together with the class mechanism,
these can be used to quickly build sophisticated data structures for interesting projects. Statements are
terminated by end of line, and block structure is indicated by indentation. Python programs look like executable
pseudo-code. The absence of type declarations makes for less code and more flexible programming.
1.1.3 Platform Independent Python programs are platform independent, which means that regardless of the
operating system you use to create your program, it'll run on any other computer with Python. So if you write
some program on your PC, you can e-mail a copy to your friend who runs Linux or to someone who has a Mac
and the program will work same.
1.1.4 Object Oriented ProgrammingJust like other programming Languages as C#, Java, Python is also a
object-oriented Language. But it works better than them. The codes of Python are smaller and easier than other
languages and easy to implement. In Python, using OOP techniques is optional. You have all of OOP's power at
your disposal, but you can use it when you need it. Got a short program that doesn't really require OOP? No
problem. Got a large project with a team of programmers that demands OOP? That'll work too. Python gives
you power and flexibility.
1.1.5 Open Source Python software is free. You can install it on your computer or laptop and never have to pay
for it. Python's license also lets you do much more than that. You can copy or modify Python. You can even
resell Python if you want (but don't quit your day job just yet). Embracing open-source ideals like this is part of
what makes Python so popular and successful. Python is a programming language that lets you work more
quickly and integrate your systems more effectively. You can learn to use Python and see almost immediate
gains in productivity and lower maintenance costs.
1.1.6 Python is self-adjustable Python provides full dynamic runtime type checking and bounds checking on
array subscripts4. Python employs garbage collection so there is no problem with
Dangling pointers or memory leaks. It is impossible for user code in Python to produce a segmentation
violation. In this respect Python is similar to Java, and both are much safer than
C++.
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1.2 Data Mining Data mining is the process of analysing data from different perspectives and summarizing it
into useful information - information that can be used to increase revenue, cuts costs, or both. Data mining
software is one of a number of analytical tools for analysing data. It allows users to analyse data from many
different dimensions or angles, categorize it, and summarize the relationships identified. Technically, data
mining is the process of finding correlations or patterns among dozens of fields in large relational databases.
1.2.1 Data mining consists of five major elements
• Extract, transform, and load transaction data onto the data warehouse system.
• Store and manage the data in a multidimensional database system.
• Provide data access to business analysts and information technology professionals.
• Analyses the data by application software.
• Present the data in a useful format, such as a graph or table.
1.3 SQL SQL stands for Structured Query Language. SQL is used to communicate with a database. According
to ANSI (American National Standards Institute), it is the standard language for relational database management
systems. SQL statements are used to perform tasks such as update data on a database, or retrieve data from a
database. Some common relational database management systems that use SQL are: Oracle, Sybase, Microsoft
SQL Server, Access, Ingres, etc. Although most database systems use SQL, most of them also have their own
additional proprietary extensions that are usually only used on their system. However, the standard SQL
commands such as "Select", "Insert", "Update", "Delete", "Create", and "Drop" can be used to accomplish
almost everything that one needs to do with a database.
1.4 Encryption and Decryption Encryption is the conversion of data into a form, called a cipher text (it is an
encrypted text), that cannot be easily understood by unauthorized people. Decryption is the process of
converting encrypted data back into its original form, so it can be understood.
1.4.1 Uses Encryption/decryption is especially important in wireless communications. This is because wireless
circuits are easier to tap than their hard-wired counterparts. Nevertheless, encryption/decryption is a good idea
when carrying out any kind of sensitive transaction, such as a credit-card purchase online, or the discussion of a
company secret between different departments in the organization. The stronger the cipher -- that is, the harder it
is for unauthorized people to break it -- the better, in general. However, as the strength of encryption/decryption
increases, so does the cost.
II.
Motivation
In present era music player is very common. We use it while travelling and also for pass time. Many
types of music players are available in the market. The competition is very high. To stand in the market we need
to implement new key feature in the music player. So we use data mining in this player so that it can
recommend music to the user according their best interest which is tracked by the player. If the user is new, we
recommended him the music belongs to their category.
III.
Flow Chart
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Fig. 3.1 user block
Fig. 3.2 admin block
Step algorithm
Step 1
Starts the program a window opens with two options “admin” and “user” as shown in Fig. 3.3.
Step 2
Admin part
When admin is selected another window opens where administrator is allowed to login as shown in
Fig. 3.10. If administrator userid and password is correct then another window pops up:-“adduser”,”delete user”,
“upload”,”datasharing”.
Step 3
If “adduser” is selected a window pops up as shown in Fig 3.11. Where we have to enter the new
userid, password, name and age after that a new row is added in the user table.
Step 4
If “delete user” is selected a window pops up which asks for the userid .if a correct userid is chosen the
following row is deleted as shown in Fig. 3.13 and Fig. 3.14.
Step 5
If “upload" is selected a window pops up to search for the songs you want to upload. After the song is
selected a window pops up asks for mood,language,age after entering all the data that the songs is updated in the
mood tableas shown in Fig 3.16 and Fig. 3.17.
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Step 6
If “datasharing” is selected a window pops up asking for age. The songs listened by any user within a
week and belongs to that particular age according to it the data of the database is selected and encrypted and
saved into a file and shared as shown in Fig. 3.15.After then exit.
Step 7
If “user option” is selected a window pops up with three options “popular
songs”,”moodpridict”,”user_recomendation_list” as shown in Fig 3.6.
Step 8
If “popular songs” is selected the song’s with maximum “values” or hit count is selected. Top 4 songs
are shown in Fig. 3.7.
Step 9
When “mood predict” is selected a window pop’s up asking for username and password .if the data is
correct another window pop’s up asking for the text and language. From the user database age of the user is
taken. The text entered is split up into words and saved into an array. And from this array we checked each and
every word one by one. If the word belongs to any genre add that word to any specified array for that genre.
Else the array of that genre will be empty.
Now check the length of each and every specified array for the genre. The array with maximum length
will give us the mood. If the lengths are equal then the priority of word will decide the mood. From the mood,
language and age the list of songs will be shown. A text box is provided in the list so that we can play a
particular song as shown in Fig 3.8.
Step 10
User part
If “user_recomendation_list” is selected. A window pop’s up asking for userid. If it is valid then the
age and language will be taken from the user database. From the mood count we can decide the mood. The
moodcount with maximum value will be treated as the mood. And from that mood, language, and age,
recommendation list is shown in Fig. 3.9. After that hit count of user is increased.
The user database are arranged in decreasing order of the user hit count so that every time top 3 user can be
selected.
If user id in not correct it will give us an empty list.
Fig. 3.3 showing the user table in the database
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Fig. 3.4 showing the mood table in the database
Fig. 3.5 starting window
Fig. 3.6 After selecting user next window pops up with three options
Fig. 3.7 After selecting popular songs a window pops up with songs
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Fig. 3.8 Whenmoodprdct option is selected
Fig. 3.9 When user_recomendation_list
Fig. 3.10 When admin is selected and correct userid and password is entered
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Fig. 3.11 Whenadduser is selected
Fig. 3.12 Afteradduser the database is updated
Fig. 3.13 Whendeleteuser is selected
Fig. 3.14 Database of user after deleteuser is selected
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Fig. 3.15 When datasharing is selected the encrypted data’s are saved into the text
Fig. 3.16 When songs are uploaded
Fig. 3.17 After upload the database is updated
IV.
Conclusion And Future Work
The methodology section describes the implementation of the system and the result section shows that
the proposed system works as per our expectation. We haven’t used any security mechanisms to store our data
secretly. We can import security features in order to prevent outside attacks to this system. We hope that the
design and implementation described in this report will aid the developers community in near future.
References
A Method for Bypassing Keystroke Recognition Based Security System Using Social Engineering Page
number: 87-93
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